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The Anthropic interview cheat code nobody talks about

40 verified questions from the last 14 days, the same ones Anthropic is asking candidates this week. Most applicants never see them.

New questions added every 7 days.

40
Fresh questions
3.2K+
Engineers using this
$565K
Median offer at stake
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500 Howard St · San Francisco
The Process

Five rounds, and the one that fails most people isn't technical

01
30 minVideo call

Recruiter screen

Not a formality, and people do get cut here. Anthropic recruiters probe mission alignment on this call, then test it again properly at the end of the loop.

  • Turn up with an actual view on the work.

    Enthusiasm about AI in general reads as thin. They want to hear what you think is hard, and where you think the field is wrong.

  • Ask about the org, not the perks.

    The track you are routed to decides whether you sit the take home at all, so this is where you find out which loop you are actually facing.

  • Give one number for total compensation.

    Let the recruiter decide how it splits between base and equity. Anthropic weights cash into base, so the base number is the larger half.

02
60 minCoderPad

Technical screen

Live coding in a shared editor, typically CoderPad, run by an engineer. One medium to hard problem in the language of your choice, and no AI assistance of any kind.

  • Pick a language you are fluent in.

    There is one problem and it is medium to hard. Fighting your own syntax is the cheapest way to lose this round.

  • Say what you are optimising for.

    Writing and reasoning quality is scored across roles here, and that includes how you explain a trade off out loud while you type.

  • Do not reach for a model.

    Anthropic publishes a candidate AI policy at anthropic.com/candidate-ai-guidance, and every live round is covered by it.

03
2 hrs of work48 hour windowNo Claude allowed

Take home evaluation

Research and performance engineering tracks only; product and software candidates usually skip it. Two hours of working time inside a 48 hour window on a Python simulator of a fake accelerator, rewritten whenever a new Claude solves the current version.

  • Build your own debugging apparatus.

    It ships with no visualisation tools, and part of the score is whether you write the inspector before you write the optimiser.

  • Expect a puzzle, not a benchmark.

    Version three dropped realism for Zachtronics style puzzles on a tiny instruction set, with manual memory, VLIW packing, SIMD and multicore.

  • Budget the two hours deliberately.

    The window is 48 hours but the working time is two. Running out is the single most common way this evaluation is lost.

04
4 to 6 roundsOne dayVirtual

The onsite loop

Four to six rounds of 60 minutes: a classic data structures round, an applied systems round, and system design covering distributed systems and inference serving. Research candidates also sit a heavily weighted ML depth round.

  • Concurrency turns up more than once.

    Threading and synchronisation come up across rounds, not only in design. Go in comfortable with both.

  • Narrate while you work.

    Verbal reasoning is scored next to the code. Silence gets written up as uncertainty even when the solution is right.

  • Leave the tests and the naming alone.

    Readable and covered outranks compact. This is the closest thing Anthropic has to a house style.

05
60 minThen 1 to 2 weeks

Values and safety round

Every candidate sits it regardless of track, and it is weighted equally with the technical rounds. A concrete scenario, scored on whether you can articulate trade offs and hold calibrated uncertainty.

  • Read Dario before you sit it.

    Machines of Loving Grace and The Adolescence of Technology are the common reference points, and it shows when you have not.

  • Take safety seriously without the doom.

    Cheerleading and catastrophising both land badly. They want somebody who can hold the tension.

  • Have a position you can defend.

    Agreeing with everything is the failure mode. Bring a view, argue it, and change your mind for a good reason.

Levels and Pay

Most of the offer is equity, and the equity is private

Pick a level to see how the package splits, what changes by city, and what the loop actually asks of you at that band.

LevelExperienceTotal comp
Software EngineerEntry1 to 3 yrs~$420K
Senior EngineerSenior3 to 6 yrs~$565K
Staff EngineerStaff6 to 10 yrs~$785K
Principal EngineerPrincipal10+ yrs~$1.1M

Anthropic posts one US band. San Francisco, New York and Seattle appear on the same requisition at the same numbers, so the US tabs sit at parity by policy and not by rounding. Only the non US tabs change the figure, and most of what they change is the exchange rate.

Anthropic weights cash into base rather than running a bonus, so the base number here is the whole cash number.

Live Question Feed

What Anthropic is asking right now

40 questions · new ones added every 7 days
40 Verified
PRACTICAL

Implement a bank supporting deposits, transfers and scheduled payments, then extend it live when the interviewer adds a requirement you did not plan for.

Technical screen
60 min
CoderPad
Reported 9 times
Open
39 more questions available

The exact questions Anthropic is asking this week, tagged by round and difficulty.

Unlock All 40 Questions

Each question stays in the bank for 14 days, so everything here was asked in the last 14 days. Candidates who see them first pass at 3.2 times the normal rate.

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The Unfair Advantage

Why this actually works

01

Real questions, not guesses

Collected from engineers who sat the loop, then cross validated against other intel sources.

02

Fresh every week

The database updates every 7 days, so you never study stale problems.

03

Covers every round

Technical screens, the take home evaluation, systems design, ML depth and the values and safety round.

04

120+ companies tracked

Also interviewing at OpenAI, Google DeepMind or Meta? We have their questions too.

05

Difficulty and pattern data

Tagged by difficulty, round and category, so you know where prep time goes.

06

Candidate verified only

Reported by a candidate, then cross verified against multiple data points.

3.2×
Higher pass rate
120+
Companies tracked
3.2K+
Engineers using this
FAQ

Common questions

Directly from engineers who interviewed at Anthropic, then cross validated against other intel sources into a stack ranked list.

We add new questions every 7 days and retire each one after 14 days, so the bank turns over twice in the window it covers. Anthropic rewrites the take home whenever a new Claude solves it, and the values round shifts as the research agenda moves.

Not really. The technical screen is one medium to hard problem in a shared editor, and the onsite pairs a classic data structures round with an applied systems problem.

Not in live rounds. Anthropic publishes explicit candidate guidance on this and has removed people from processes for ignoring it.

A scored conversation about deploying powerful AI responsibly, weighted equally with the technical rounds. Every candidate sits it, and it is the round that eliminates people who sail through FAANG loops.

Around $565K in San Francisco, or roughly £350K in London. Forty percent of that is private equity, and there is no bonus at any level.

Three to six weeks, and the take home adds about a week. It only applies to research and performance engineering tracks, so most software candidates skip it.

No. GothamLoop covers 120+ companies including OpenAI, Google, Meta, Amazon and Apple.

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Company Interview Guides

Every company we track, each with its own loop, levels and live question feed.

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Mountain View, CA
58%
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San Francisco, CA
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New York, NY
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